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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
76
Citations
39802
World Ranking
630
National Ranking
282

Research.com Recognitions

  • 2016 - Member of the National Academy of Engineering For contributions to control engineering theory, practice, and education.

Overview

James B. Rawlings is a researcher affiliated with the University of California, Santa Barbara in the United States. Their work primarily spans the field of Engineering, with a specific focus on Control and Systems Engineering. Additional subfields of study include Electrical and Electronic Engineering, Biomedical Engineering, Statistical and Nonlinear Physics, and Materials Chemistry.

Their main research topics involve Advanced Control Systems Optimization, Fault Detection and Control Systems, Control Systems and Identification, Process Optimization and Integration, Stability and Control of Uncertain Systems, Micro and Nano Robotics, and Molecular Communication and Nanonetworks.

Frequent co-authors collaborating with them include Robert D. McAllister, Steven J. Kuntz, Pratyush Kumar, Douglas A. Allan, and Titus Quah.

James B. Rawlings has published extensively in various venues. Notable frequent publication venues are:

  • IEEE Transactions on Automatic Control
  • Computers & Chemical Engineering
  • arXiv (Cornell University)
  • SIAM Journal on Control and Optimization
  • 2022 American Control Conference (ACC)

Recent papers authored by or involving Rawlings include:

  • Industrial, large-scale model predictive control with structured neural networks, 2021, Computers & Chemical Engineering
  • Nonlinear Detectability and Incremental Input/Output-to-State Stability, 2021, SIAM Journal on Control and Optimization
  • Nonlinear Stochastic Model Predictive Control: Existence, Measurability, and Stochastic Asymptotic Stability, 2022, IEEE Transactions on Automatic Control
  • Grey-box model and neural network disturbance predictor identification for economic MPC in building energy systems, 2023, Energy and Buildings
  • Robust Stability of Full Information Estimation, 2021, SIAM Journal on Control and Optimization

James B. Rawlings has been recognized as a Member of the National Academy of Engineering since 2016 for contributions to control engineering theory, practice, and education.

Best Publications

  • Survey Constrained model predictive control: Stability and optimality

    D. Q. Mayne;J. B. Rawlings;C. V. Rao;P. O. M. Scokaert

  • CasADi: a software framework for nonlinear optimization and optimal control

    Joel A. E. Andersson;Joris Gillis;Greg Horn;James B. Rawlings

  • Tutorial overview of model predictive control

    J.B. Rawlings

  • The stability of constrained receding horizon control

    J.B. Rawlings;K.R. Muske

  • Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations

    C.V. Rao;J.B. Rawlings;D.Q. Mayne

  • Model predictive control with linear models

    Kenneth R. Muske;James B. Rawlings

  • Nonlinear Predictive Control and Moving Horizon Estimation — An Introductory Overview

    F. Allgöwer;T. A. Badgwell;J. S. Qin;J. B. Rawlings

  • Distributed MPC Strategies With Application to Power System Automatic Generation Control

    A.N. Venkat;I.A. Hiskens;J.B. Rawlings;S.J. Wright

  • Suboptimal model predictive control (feasibility implies stability)

    P.O.M. Scokaert;D.Q. Mayne;J.B. Rawlings

  • Disturbance models for offset‐free model‐predictive control

    Gabriele Pannocchia;James B. Rawlings

  • Brief Constrained linear state estimation-a moving horizon approach

    Christopher V. Rao;James B. Rawlings;Jay H. Lee

  • Application of interior-point methods to model predictive control

    C. Y. Rao;S. J. Wright;J. B. Rawlings

  • Constrained linear quadratic regulation

    P.O.M. Scokaert;J.B. Rawlings

  • Approximate simulation of coupled fast and slow reactions for stochastic chemical kinetics

    Eric L. Haseltine;James B. Rawlings

  • On Average Performance and Stability of Economic Model Predictive Control

    D. Angeli;R. Amrit;J. B. Rawlings

  • Critical Evaluation of Extended Kalman Filtering and Moving-Horizon Estimation

    Eric L. Haseltine;James B. Rawlings

  • Cooperative distributed model predictive control

    Brett T. Stewart;Aswin N. Venkat;James B. Rawlings;Stephen J. Wright

  • A Lyapunov Function for Economic Optimizing Model Predictive Control

    M Diehl;R Amrit;J B Rawlings

  • Model identification and control of solution crystallization processes: a review

    James B. Rawlings;Stephen M. Miller;Walter R. Witkowski

  • A new autocovariance least-squares method for estimating noise covariances

    Brian J. Odelson;Murali R. Rajamani;James B. Rawlings

  • A moving horizon-based approach for least-squares estimation

    Douglas G. Robertson;Jay H. Lee;James B. Rawlings

  • Correspondence: Correction to Constrained model predictive control: stability and optimality

    D.Q Mayne;J.B Rawlings

Frequent Co-Authors

David Q. Mayne
David Q. Mayne Imperial College London
David Angeli
David Angeli Imperial College London
Ian A. Hiskens
Ian A. Hiskens University of Michigan–Ann Arbor
Moritz Diehl
Moritz Diehl University of Freiburg
Thomas F. Kuech
Thomas F. Kuech University of Wisconsin–Madison
Eduardo F. Camacho
Eduardo F. Camacho University of Seville
Frank Allgöwer
Frank Allgöwer University of Stuttgart
Lorenz T. Biegler
Lorenz T. Biegler Carnegie Mellon University
Jakob Stoustrup
Jakob Stoustrup Aalborg University
George Yin
George Yin University of Connecticut

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